Solutions: Retail

Neo4j is the Go-To Technology for Retail

Today, harnessing connected data is at the core of digital transformation in retail. Whether you’re building a product or promotions recommendation engine, personalizing customer experiences, or re-imagining your supply chain to meet customer demands for same-day delivery — you’re facing challenges that require the ability to leverage connections from many different data sources, and all in real time.

There’s no better technology to meet these challenges than a native graph database technology such as Neo4j.

Harnessing data connections is a non-trivial task, and it requires the ability to incorporate and analyze data from many different sources (e.g., product, customer, inventory, supplier, logistics and social sentiment data). Neo4j is specifically designed to store and process such data relationships across various sources.

Modern retailers realize that powerful recommendation engines, in particular, are core drivers of both user experience and revenue. Neo4j has enabled retailers like eBay and Walmart to transformed their businesses, providing their customers with routing recommendations, personalization, product recommendations and promotions, all in real time.

On average, Neo4j processes over 90% of 35M+ daily transactions, each 3-22 hops in 4ms or less.

This top US retailer uses Neo4j to revolutionize and reinvent its real-time promotions engine. Thanks to the newly implemented Neo4j-based solution, during its peak season in 2016, the company set an all-time record in online sales, and also enabled the retailer to become one of the first in the US to offer synchronized in-store and online promotions.